David C. Swanson

Signal Processing for Intelligent Sensor Systems with MATLAB (eBook, PDF)

• Format: PDF

Produktbeschreibung

Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLAB scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 683
• Erscheinungstermin: 21. Juli 2011
• Englisch
• ISBN-13: 9781439879504
• Artikelnr.: 57122665

Autorenporträt

David C. Swanson

Inhaltsangabe

Fundamentals of Digital Signal Processing:Sampled Data Systems.
Z-Transform. Digital Filtering. Digital Audio Processing. Linear Filter
Applications. Frequency Domain Processing: Fourier Transform. Spectral
Density. Wavenumber Transforms. Adaptive System Identification and
Filtering: Linear Least-Squared Error Modeling. Recursive Least-Squares
Techniques. Recursive Adaptive Filtering. Wavenumber Sensor Systems:
Signal Detection Techniques. Wavenumber and Bearing Estimation. Adaptive
Beamforming and Localization. Signal Processing Applications: Noise
Reduction Techniques. Sensors and Transducers. Intelligent Sensor Systems.